Business ROI

Business ROI

CI documentation

MLOps Is Not DevOps With a GPU: The Operational Differences That Break AI Teams

Teams that treat MLOps as “DevOps with a GPU” often spend months discovering why traditional CI/CD pipelines fail under production AI workloads. Model drift, training-serving skew, non-deterministic failures, and data lineage gaps create operational problems standard DevOps systems were never designed to manage. This article explains the core operational differences between DevOps and MLOps, why production ML systems behave differently, and what mature MLOps practices actually look like inside AI-first engineering organisations.

MLOps Is Not DevOps With a GPU: The Operational Differences That Break AI Teams Read More »